{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.style.use('seaborn')\n",
    "sns.set(font_scale=2)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 导入数据，注意这里使用的时候请用vscode之类的文本编辑器用gb2312打开然后保存为utf-8格式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df = pd.read_csv('nCoV_100k_train.labled.csv',engine ='python')\n",
    "test_df  = pd.read_csv('nCov_10k_test.csv',engine ='python')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 观察训练和测试数据的前几行"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>微博id</th>\n",
       "      <th>微博发布时间</th>\n",
       "      <th>发布人账号</th>\n",
       "      <th>微博中文内容</th>\n",
       "      <th>微博图片</th>\n",
       "      <th>微博视频</th>\n",
       "      <th>情感倾向</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4456072029125500</td>\n",
       "      <td>01月01日 23:50</td>\n",
       "      <td>存曦1988</td>\n",
       "      <td>写在年末冬初孩子流感的第五天，我们仍然没有忘记热情拥抱这2020年的第一天。带着一丝迷信，早...</td>\n",
       "      <td>['https://ww2.sinaimg.cn/orj360/005VnA1zly1gah...</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4456074167480980</td>\n",
       "      <td>01月01日 23:58</td>\n",
       "      <td>LunaKrys</td>\n",
       "      <td>开年大模型…累到以为自己发烧了腰疼膝盖疼腿疼胳膊疼脖子疼#Luna的Krystallife#?</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4456054253264520</td>\n",
       "      <td>01月01日 22:39</td>\n",
       "      <td>小王爷学辩论o_O</td>\n",
       "      <td>�偳癯空饩褪俏业�，爹，发烧快好，毕竟美好的假期拿来养病不太好，假期还是要好好享受快乐，爹，...</td>\n",
       "      <td>['https://ww2.sinaimg.cn/thumb150/006ymYXKgy1g...</td>\n",
       "      <td>[]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4456061509126470</td>\n",
       "      <td>01月01日 23:08</td>\n",
       "      <td>芩鎟</td>\n",
       "      <td>新年的第一天感冒又发烧的也太衰了但是我要想着明天一定会好的?</td>\n",
       "      <td>['https://ww2.sinaimg.cn/orj360/005FL9LZgy1gah...</td>\n",
       "      <td>[]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4455979322528190</td>\n",
       "      <td>01月01日 17:42</td>\n",
       "      <td>changlwj</td>\n",
       "      <td>问：我们意念里有坏的想法了，天神就会给记下来，那如果有好的想法也会被记下来吗？答：那当然了。...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               微博id        微博发布时间      发布人账号  \\\n",
       "0  4456072029125500  01月01日 23:50     存曦1988   \n",
       "1  4456074167480980  01月01日 23:58   LunaKrys   \n",
       "2  4456054253264520  01月01日 22:39  小王爷学辩论o_O   \n",
       "3  4456061509126470  01月01日 23:08         芩鎟   \n",
       "4  4455979322528190  01月01日 17:42   changlwj   \n",
       "\n",
       "                                              微博中文内容  \\\n",
       "0  写在年末冬初孩子流感的第五天，我们仍然没有忘记热情拥抱这2020年的第一天。带着一丝迷信，早...   \n",
       "1    开年大模型…累到以为自己发烧了腰疼膝盖疼腿疼胳膊疼脖子疼#Luna的Krystallife#?   \n",
       "2  �偳癯空饩褪俏业�，爹，发烧快好，毕竟美好的假期拿来养病不太好，假期还是要好好享受快乐，爹，...   \n",
       "3                     新年的第一天感冒又发烧的也太衰了但是我要想着明天一定会好的?   \n",
       "4  问：我们意念里有坏的想法了，天神就会给记下来，那如果有好的想法也会被记下来吗？答：那当然了。...   \n",
       "\n",
       "                                                微博图片 微博视频 情感倾向  \n",
       "0  ['https://ww2.sinaimg.cn/orj360/005VnA1zly1gah...   []    0  \n",
       "1                                                 []   []   -1  \n",
       "2  ['https://ww2.sinaimg.cn/thumb150/006ymYXKgy1g...   []    1  \n",
       "3  ['https://ww2.sinaimg.cn/orj360/005FL9LZgy1gah...   []    1  \n",
       "4                                                 []   []    1  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>微博id</th>\n",
       "      <th>微博发布时间</th>\n",
       "      <th>发布人账号</th>\n",
       "      <th>微博中文内容</th>\n",
       "      <th>微博图片</th>\n",
       "      <th>微博视频</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4456068992182160</td>\n",
       "      <td>01月01日 23:38</td>\n",
       "      <td>-精緻的豬豬女戰士-</td>\n",
       "      <td>#你好2020#新年第一天元气满满的早起出门买早饭结果高估了自己抗冻能力回家成功冻发烧（大概...</td>\n",
       "      <td>['https://ww2.sinaimg.cn/thumb150/745aa591ly1g...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4456424178427250</td>\n",
       "      <td>01月02日 23:09</td>\n",
       "      <td>liujunyi88</td>\n",
       "      <td>大宝又感冒鼻塞咳嗽了，还有发烧。队友加班几天不回。感觉自己的情绪在家已然是随时引爆的状态。情...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4456797466940200</td>\n",
       "      <td>01月03日 23:53</td>\n",
       "      <td>ablsa</td>\n",
       "      <td>还要去输两天液，这天也太容易感冒发烧了，一定要多喝热水啊?</td>\n",
       "      <td>['https://ww3.sinaimg.cn/orj360/006fTidCly1gaj...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4456791021108920</td>\n",
       "      <td>01月03日 23:27</td>\n",
       "      <td>喵吃鱼干Lynn</td>\n",
       "      <td>我太难了别人怎么发烧都没事就我一检查甲型流感?</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4457086404997440</td>\n",
       "      <td>01月04日 19:01</td>\n",
       "      <td>我的发小今年必脱单</td>\n",
       "      <td>果然是要病一场的喽回来第三天开始感冒今儿还发烧了喉咙眼睛都难受的一匹怎么样能不经意让我的毕设...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               微博id        微博发布时间       发布人账号  \\\n",
       "0  4456068992182160  01月01日 23:38  -精緻的豬豬女戰士-   \n",
       "1  4456424178427250  01月02日 23:09  liujunyi88   \n",
       "2  4456797466940200  01月03日 23:53       ablsa   \n",
       "3  4456791021108920  01月03日 23:27    喵吃鱼干Lynn   \n",
       "4  4457086404997440  01月04日 19:01   我的发小今年必脱单   \n",
       "\n",
       "                                              微博中文内容  \\\n",
       "0  #你好2020#新年第一天元气满满的早起出门买早饭结果高估了自己抗冻能力回家成功冻发烧（大概...   \n",
       "1  大宝又感冒鼻塞咳嗽了，还有发烧。队友加班几天不回。感觉自己的情绪在家已然是随时引爆的状态。情...   \n",
       "2                      还要去输两天液，这天也太容易感冒发烧了，一定要多喝热水啊?   \n",
       "3                            我太难了别人怎么发烧都没事就我一检查甲型流感?   \n",
       "4  果然是要病一场的喽回来第三天开始感冒今儿还发烧了喉咙眼睛都难受的一匹怎么样能不经意让我的毕设...   \n",
       "\n",
       "                                                微博图片 微博视频  \n",
       "0  ['https://ww2.sinaimg.cn/thumb150/745aa591ly1g...   []  \n",
       "1                                                 []   []  \n",
       "2  ['https://ww3.sinaimg.cn/orj360/006fTidCly1gaj...   []  \n",
       "3                                                 []   []  \n",
       "4                                                 []   []  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_df.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 我们能看到数据的字段包含微博id，微博发布时间，微博中文内容，微博图片，微博视频 和情感倾向(标签)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((100000, 7), (10000, 6))"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.shape, test_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 100k条带标注的训练数据，10k测试数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>微博id</th>\n",
       "      <th>微博发布时间</th>\n",
       "      <th>发布人账号</th>\n",
       "      <th>微博中文内容</th>\n",
       "      <th>微博图片</th>\n",
       "      <th>微博视频</th>\n",
       "      <th>情感倾向</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3520</th>\n",
       "      <td>4463901464693180</td>\n",
       "      <td>01月23日 14:21</td>\n",
       "      <td>福建日报</td>\n",
       "      <td>【#广东发现6起家庭聚集性疫情#】据广东省卫健委：1月22日0-24时，广东省报告新型冠状病...</td>\n",
       "      <td>['https://ww1.sinaimg.cn/orj360/c8a0fc08gy1gb6...</td>\n",
       "      <td>[]</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  微博id        微博发布时间 发布人账号  \\\n",
       "3520  4463901464693180  01月23日 14:21  福建日报   \n",
       "\n",
       "                                                 微博中文内容  \\\n",
       "3520  【#广东发现6起家庭聚集性疫情#】据广东省卫健委：1月22日0-24时，广东省报告新型冠状病...   \n",
       "\n",
       "                                                   微博图片 微博视频 情感倾向  \n",
       "3520  ['https://ww1.sinaimg.cn/orj360/c8a0fc08gy1gb6...   []    -  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df[train_df['情感倾向']=='-']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '情感倾向(target)')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df['情感倾向'].value_counts().plot.bar()\n",
    "plt.title('sentiment(target)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df = train_df[train_df['情感倾向'].isin(['0','1','-1'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'sentiment(target)')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df['情感倾向'].value_counts().plot.bar()\n",
    "plt.title('sentiment(target)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 我们观察一下舆情趋势与时间的关系，时间轴为2020年1-1日起的自然日"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df['time'] = pd.to_datetime('2020年' + train_df['微博发布时间'], format='%Y年%m月%d日 %H:%M', errors='ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df['month'] =  train_df['time'].dt.month\n",
    "train_df['day'] =  train_df['time'].dt.day\n",
    "train_df['dayfromzero']  = (train_df['month']-1)*31 +  train_df['day']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2, figsize=(16, 8))\n",
    "sns.kdeplot(train_df.loc[train_df['情感倾向'] == '0', 'dayfromzero'], ax=ax[0], label='sent(0)')\n",
    "sns.kdeplot(train_df.loc[train_df['情感倾向'] == '1', 'dayfromzero'], ax=ax[0], label='sent(1)')\n",
    "sns.kdeplot(train_df.loc[train_df['情感倾向'] == '-1', 'dayfromzero'], ax=ax[0], label='sent(-1)')\n",
    "\n",
    "train_df.loc[train_df['情感倾向'] == '0', 'dayfromzero'].hist(ax=ax[1])\n",
    "train_df.loc[train_df['情感倾向'] == '1', 'dayfromzero'].hist(ax=ax[1])\n",
    "train_df.loc[train_df['情感倾向'] == '-1', 'dayfromzero'].hist(ax=ax[1])\n",
    "\n",
    "ax[1].legend(['sent(0)', 'sent(1)','sent(-1)'])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 舆情在春节期间迅速升温，并在李文亮医生事件后达到巅峰(2-8日到2月10日)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 重复发帖数量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4466220575191380    2\n",
       "4463683088077780    2\n",
       "4470569351337640    2\n",
       "4460684139742960    1\n",
       "4465820153259820    1\n",
       "4467582310655260    1\n",
       "4466528042763680    1\n",
       "4463287624283950    1\n",
       "4473075678681240    1\n",
       "4473036550285470    1\n",
       "Name: 微博id, dtype: int64"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df['微博id'].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df['weibo_len'] = train_df['微博中文内容'].astype(str).apply(len)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f01deebe748>"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(train_df['weibo_len'])\n",
    "#plt.title('weibo_len')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df['pic_len'] = train_df['微博图片'].apply(lambda x: len(eval(x)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'pic_len(target)')"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df['pic_len'].value_counts().plot.bar()\n",
    "plt.title('pic_len(target)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='pic_len', hue='情感倾向',data=train_df)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
